2009 Special Issue: Neural dynamics of idea generation and the effects of priming

  • Authors:
  • Laxmi R. Iyer;Simona Doboli;Ali A. Minai;Vincent R. Brown;Daniel S. Levine;Paul B. Paulus

  • Affiliations:
  • Department of Computer Science, University of Cincinnati, Cincinnati, OH 45221, United States;Department of Computer Science, Hofstra University, Hempstead, NY 11549, United States;Department of Electrical and Computer Engineering, University of Cincinnati, Cincinnati, OH 45221, United States;Department of Psychology, Hofstra University, Hempstead, NY 11549, United States;Department of Psychology, University of Texas at Arlington, Arlington TX 76019, United States;College of Science, University of Texas at Arlington, Arlington TX 76019, United States

  • Venue:
  • Neural Networks
  • Year:
  • 2009

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Abstract

Idea generation is a fundamental attribute of the human mind, but the cognitive and neural mechanisms underlying this process remain unclear. In this paper, we present a dynamic connectionist model for the generation of ideas within a brainstorming context. The key hypothesis underlying the model is that ideas emerge naturally from itinerant attractor dynamics in a multi-level, modular semantic space, and the potential surface underlying this dynamics is itself shaped dynamically by task context, ongoing evaluative feedback, inhibitory modulation, and short-term synaptic modification. While abstract, the model attempts to capture the interplay between semantic representations, working memory, attentional selection, reinforcement signals, and modulation. We show that, once trained on a set of contexts and ideas, the system can rapidly recall stored ideas in familiar contexts, and can generate novel ideas by efficient, multi-level dynamical search in both familiar and unfamiliar contexts. We also use a simplified continuous-time instantiation of the model to explore the effect of priming on idea generation. In particular, we consider how priming low-accessible categories in a connectionist semantic network can lead to the generation of novel ideas. The mapping of the model onto various regions and modulatory processes in the brain is also discussed briefly.